A new cybersecurity platform called Raziel has been launched by the Tide Foundation, a nonprofit organization focused on digital safety. The tool is designed to detect threats that arise when attackers gain access to a system from within, rather than from the outside. The announcement came on Tuesday, as the foundation highlighted the growing risk of insider attacks in an era of rapid AI adoption.
The Tide Foundation’s co‑founder, Michael Loewy, explained that the security industry has been losing ground to attackers even before the rise of artificial intelligence. Minor mistakes, such as a typo in code, or the involvement of sophisticated state actors, can create vulnerabilities that expose sensitive data. „Before AI even entered the developer’s mind, a developer or platform owner had to maintain flawless code and patching,” Loewy said. „Now, with AI, the stakes are higher and the attack surface is larger.”
Raziel is built on the premise that attackers increasingly exploit internal systems, using compromised credentials or malicious insiders to move laterally within a network. The platform employs machine learning models that analyze user behavior, system logs, and network traffic to spot anomalies that signal a breach. By treating the organization as a potential adversary, Raziel can detect subtle shifts in activity that traditional perimeter defenses miss.
According to Loewy, the AI component of Raziel learns from thousands of past incidents, enabling it to predict which assets are most likely to be targeted next. The system also offers automated containment actions, such as isolating compromised accounts or shutting down affected services. „We’re essentially giving companies a digital bodyguard that watches for the moment the enemy slips in,” Loewy explained.
The launch of Raziel raises questions about the dual use of AI in cybersecurity. While the technology can identify threats faster than human analysts, it also introduces new attack vectors. Malicious actors can train adversarial models to fool AI systems or exploit the platform’s own data collection processes. Experts caution that relying solely on AI could create a false sense of security.
„AI is a powerful tool, but it’s not a silver bullet,” said a cybersecurity analyst who asked to remain anonymous. „Organizations must combine AI with robust policies, human oversight, and continuous training to stay ahead.”
The Tide Foundation’s initiative is part of a broader industry trend toward „zero trust” architectures, where every access request is verified regardless of origin. Raziel’s internal focus aligns with this philosophy, offering a proactive stance against insider threats that traditional perimeter defenses often overlook.
The introduction of Raziel signals a shift in how businesses approach cybersecurity. Companies that adopt the platform may see a reduction in data breaches caused by internal actors, but they will also need to invest in staff training and policy updates. The tool’s AI-driven alerts require analysts to interpret and respond quickly, adding operational complexity.
In the long run, Raziel could set a new standard for threat detection, especially as AI becomes more integrated into everyday software. However, the potential for AI misuse means that regulators and industry groups will likely scrutinize such tools closely. Companies will need to balance the benefits of rapid threat detection with the risks of over‑automation.